• DocumentCode
    3327121
  • Title

    Bio-inspired optimization techniques for wireless energy transfer

  • Author

    Pirisi, A. ; Mussetta, M. ; Gruosso, G. ; Zich, R.E.

  • Author_Institution
    Dipt. di Energia, Politec. di Milano, Milano, Italy
  • fYear
    2010
  • fDate
    20-24 Sept. 2010
  • Firstpage
    731
  • Lastpage
    732
  • Abstract
    This paper provides a novel approach to the design of wireless energy transfer devices, by means of an hybrid evolutionary optimization method, the recently developed Genetical Swarm Optimization. This approach is well suited in order to increase the transfer efficiency and the robustness of the coupling, with the aim of minimizing the average power loss.
  • Keywords
    genetic algorithms; inductive power transmission; particle swarm optimisation; prosthetic power supplies; average power loss; bio-inspired optimization techniques; genetical swarm optimization; hybrid evolutionary optimization method; transfer efficiency; wireless energy transfer devices; Coils; Couplings; Gallium; Optimization; Particle swarm optimization; Power supplies; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications (ICEAA), 2010 International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-7366-3
  • Type

    conf

  • DOI
    10.1109/ICEAA.2010.5651102
  • Filename
    5651102